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Integrate the BIRT Viewer with Java and Java EE web applications
Learn to integrate the Apache Business Intelligence and Reporting Tools (BIRT) Report viewer with a custom Java and Java Platform, Enterprise Edition (Java EE) web application. Also, use the features of the Apache viewer application in custom web applications.
Tutorial 27 Aug 2014
Performing text analytics with Bluemix analytics services
This tutorial explains how to perform text analytics using the Analytics for Hadoop and Analytics Warehouse IBM Bluemix services. Most of the processes are performed on a client machine with Eclipse IDE and the BigInsights plugin installed. After extracting the desired text, we use R in Analytics Warehouse to plot charts with the results.
Articles 21 Aug 2014
Build a data mining app using Java, Weka, and the Analytics Warehouse service
The Analytics Warehouse (formerly BLU Acceleration) service provides data warehousing and analytics as a service on IBM Bluemix. Developers can develop and deploy a heavy-duty analytic application using blazing-fast IBM BLU database technology offered in the cloud. Learn how to develop a data mining application using the Weka statistical analysis tool and leveraging the IBM BLU columnar database.
Also available in: Chinese   Japanese  
Articles 20 Aug 2014
IBM Business Analytics Proven Practices: IBM Cognos BI Authentication and Single Sign-On
Implement seamless authentication between security systems and IBM Cognos BI, using these guidelines. This document contains important information about the technical concepts and backgrounds involved and the design of authentication and single sign-on (SSO) functionality in IBM Cognos BI. It also discusses setting expectations regarding supported vs unsupported environments and information that must be gathered for troubleshooting the IBM Cognos BI side of things. This document is intended for security architects and administrators designing authentication for a system includes Cognos BI.
Articles 19 Aug 2014
Introduction to YARN
Apache Hadoop is one of the most popular tools for big data processing. It has been successfully deployed in production by many companies for several years. Though Hadoop is considered a reliable, scalable, and cost-effective solution, it is constantly being improved by a large community of developers. As a result, the 2.0 version offers several revolutionary features, including Yet Another Resource Negotiator (YARN), HDFS Federation, and a highly available NameNode, which make the Hadoop cluster much more efficient, powerful, and reliable. In this article, learn about the advantages YARN provides over the previous version of the distributed processing layer in Hadoop.
Also available in: Japanese  
Articles 12 Aug 2014
IBM Business Analytics Proven Practices: Tips and Techniques on working with IBM Cognos TM1 Web
Tips and Techniques on how to build models using IBM Cognos TM1 Web.
Articles 12 Aug 2014
Agile migration from MapReduce Version 1 to YARN for more robust YARN Hadoop clusters
The developerWorks tutorial "Agile migration of a single-node cluster from MapReduce Version 1 to YARN" guides you through the process of uninstalling MRv1 packages, installing YARN packages on a Hadoop cluster, starting necessary YARN daemons, and configuring mandatory configuration settings to ensure that a cluster runs Java MapReduce jobs successfully. This tutorial expands the description of the YARN Hadoop cluster to include three more features that make Hadoop clusters more robust and functional.
Articles 12 Aug 2014
A brief comparative perspective on SQL access for Hadoop
Although Hadoop is often thought of as the one-size-fits-all solution for big data processing problems, the project is limited in its ability to manage large-scale graph processing, stream processing, and scalable processing of structured data. Learn about Big SQL, a massively parallel processing SQL engine that is optimized for processing large-scale structured data. See how it compares to other systems that were recently introduced to improve the efficiency of the Hadoop framework for processing large-scale structured data.
Articles 12 Aug 2014
Agile migration of a single-node cluster from MapReduce Version 1 to YARN
YARN is a completely rewritten architecture of the processing platform in a Hadoop cluster. It makes computation much more scalable, efficient, and flexible compared to the classic MapReduce engine available in the first version of Hadoop. YARN has been considered production-ready since October 2013, and it is now used in production by many companies such as Yahoo!, Spotify, eBay, Xing, and Allegro, to name a few. Learn how to migrate a Hadoop cluster from MapReduce Version 1 (MRv1) to YARN in an agile way.
Also available in: Japanese  
Articles 12 Aug 2014
Set up and use federation in InfoSphere BigInsights Big SQL V3.0
Big SQL V3.0 supports federation to many data sources, including IBM DB2 for Linux, UNIX, and Windows, IBM PureData System for Analytics, IBM PureData System for Operational Analytics, Teradata, and Oracle. Federation enables users to send distributed requests to multiple data sources within a single SQL statement. Learn how to use the federation capabilities in Big SQL V3.0.
Articles 08 Aug 2014
IBM Business Analytics Proven Practices: SPSS Collaboration and Deployment Services - Top 5 Uses
The IBM SPSS Collaboration and Deployment Services product (a.k.a. C&DS) is a JEE based application that can be leveraged by other IBM SPSS products (Modeler, Statistics, Analytical Decision Management, etc.) to provide additional capabilities. This article will describe five ways that C&DS can be used to enhance your IBM predictive analytic solution.
Articles 06 Aug 2014
Processing and content analysis of various document types using MapReduce and InfoSphere BigInsights
Businesses often need to analyze large numbers of documents of various file types. Apache Tika is a free open source library that extracts text contents from a variety of document formats, such as Microsoft Word, RTF, and PDF. Learn how to run Tika in a MapReduce job within InfoSphere BigInsights to analyze a large set of binary documents in parallel. Explore how to optimize MapReduce for the analysis of a large number of smaller files. Learn to create a Jaql module that makes MapReduce technology available to non-Java programmers to run scalable MapReduce jobs to process, analyze, and convert data within Hadoop.
Articles 29 Jul 2014
Customer segmentation analytics with IBM SPSS
Learn how to segment customers by using IBM SPSS, IBM PureData System for Analytics powered by Netezza, and IBM DB2 for Linux, UNIX, and Windows. Merge data from disparate data sources, create a predictive model, and use it to segment customers taking into consideration multiple dimensions, such as age, income, education, etc.
Articles 22 Jul 2014
Survey text mining with IBM SPSS Text Analytics for Surveys, Part 2: Configuring domain-specific linguistic resources
This two-part series of articles demonstrates text mining with IBM SPSS Text Analytics for Surveys, version 4.0.1. Part 1 of the series presents sample survey data about touchscreen devices and presents an analysis of the data that uses built-in linguistic resources of SPSS Text Analytics for Surveys. Part 2 starts from the conclusions that are drawn in Part 1. It explores more features of SPSS Text Analytics for Surveys with special focus on how to configure user-defined resources to examine domain-specific terminology. It describes the process of categorizing responses that are based on user-defined rules.
Articles 15 Jul 2014
Deploy InfoSphere MDM Collaborative Edition onto a cluster, Part 1: Strategies for mixed clustered topologies on an application server
This two-part tutorial shows how to set up a typical IBM InfoSphere Master Data Management (MDM) Collaborative Edition V11 clustered environment. This first part describes how to deploy InfoSphere MDM Collaborative Edition V11 onto a cluster. Follow along step-by-step with detailed examples of several clustering strategies. Also learn about the required configuration to enable the IBM HTTP Server for caching and load balancing the cluster nodes.
Articles 10 Jul 2014
Create a business intelligence and analytics service in Ruby with Analytics Warehouse on IBM Bluemix
The Analytics Warehouse Service available in IBM Bluemix provides a powerful, easy-to-use, and agile platform for business intelligence and analytics. It is an enterprise-class managed service that is powered by the in-memory optimized, column-organized BLU Acceleration data warehouse technology. This article demonstrates how easy it is to incorporate the Analytics Warehouse service into your application so that you can focus on your application.
Also available in: Chinese   Japanese   Spanish  
Articles 10 Jul 2014
Create new nodes for IBM SPSS Modeler 16 using R
IBM SPSS Modeler, a powerful analytic tool, supports all phases of a data mining process, including data preparation, model building, deployment, and model maintenance. The IBM SPSS Modeler UI makes use of a visual data mining workbench that provides built-in data preparation, modeling, and output nodes that enable rapid development of the analytic assets.
Articles 08 Jul 2014
Hadoop in cloud deployments
Hadoop and the cloud seem to be ideal companions. They both contain flexible and distributed processing and storage, and they are married with a flexible instance system. They also enable you to grow and shrink your Hadoop cluster with your data and processing requirements. But this raises a variety of different management and scheduling issues. This article looks at all of these issues and more, as it describes the challenges and advantages of a cloud-based Hadoop deployment.
Articles 03 Jul 2014
IBM Cognos Business Intelligence
Download IBM Cognos Business Intelligence Developer Edition V10.2.1. IBM Cognos BI Developer Edition enables you to learn a rich set of business intelligence capabilities without incurring any upfront costs. Access any and all data sources and use reporting and analysis to experiment with how to deliver relevant information how, when, and where it is needed. Broaden your skills and learn how to build BI applications based on enterprise-class SOA foundation. Expand your opportunities in BI and become an IBM partner.
Also available in: Chinese   Portuguese  
Trial Downloads 02 Jul 2014
Data warehouse augmentation, Part 4: Use big data technologies for initial data exploration
The goal of the data warehouse is to use the data available in the enterprise and limited external data to yield business insight. In traditional settings, the volume of data is limited to a few terabytes, and the data is primarily operational and transactional in nature. Unstructured data is not available for analysis because of the limitations of the existing data warehouse. Consider by using big data technologies to incrementally augment with the existing data warehouse to gain better business insight from data that was previously unavailable for analysis.
Articles 01 Jul 2014
Develop a public transportation system simulator with Node.js and BLU Acceleration on IBM Bluemix
This article shows you how to develop a simulator of public transportation system using cloud services such as IBM DevOps Services, IBM Bluemix, and BLU acceleration. Developers with intermediate knowledge of JavaScript and those who want to get started with cloud services can learn how to develop a simple but useful application for data analysis and streams.
Also available in: Japanese  
Articles 01 Jul 2014
Do it yourself: Build a remote surveillance app using Bluemix, Cloudant, and Raspberry Pi
To build a simple surveillance system, create an IBM Bluemix app to send pictures taken by the camera module of a Raspberry Pi device to Cloudant and how to use Node.js to display them on a web page.
Also available in: Japanese   Spanish  
Articles 30 Jun 2014
Explore the eXtreme Scale-based caching service options in IBM PureApplication System
Caching services are a popular solution to address performance and scalability issues for cloud enterprise applications. Explore three caching options available with the IBM PureApplication System cloud system: One built-in, one based on WebSphere eXtreme Scale that uses a virtual system pattern on a cluster, and one based on eXtreme Scale that uses a VSP with a core OS image.
Articles 28 Jun 2014
IBM Business Analytics Proven Practices: IBM Cognos BI 10.2.1.x JMeter Stability Package
This stability test, designed for IBM Cognos 10.2.1.x, demonstrates how to use standard JMeter to stability test an IBM Cognos BI system of that version. No knowledge prerequisites required.
Articles 26 Jun 2014
IBM Business Analytics Proven Practices: Dynamic Cubes Hardware Sizing Recommendations
This document discusses some of the sizing variables involved with Dynamic Cubes and provides some high level estimates to help guide the user in selecting the proper resources for their environment. This document is intended for 10.2.1 FP1 and 10.2.1.1 IF3.
Articles 24 Jun 2014
Data warehouse augmentation, Part 3: Use big data technology for an active archive
Use big data technology to set up an active archive for the data from the enterprise data warehouse. Learn how a big data solution based on Hadoop is an ideal platform to build an active archive for historical data in a data warehouse. This article covers the architecture, tools, and techniques that you can use to design an active archive.
Articles 24 Jun 2014
IBM Business Analytics Proven Practices: Dynamic Cubes - Near Real Time and Cross Database Queries
This document discusses some of the the sizing variables involved with Dynamic Cubes and provides some high level estimates to help guide the user in selecting the proper resources for their environment. This document is intended for Cognos BI 10.2.1 and 10.2.1 FP1.
Articles 20 Jun 2014
IBM Business Analytics Proven Practices: IBM Cognos TM1 XMI Extractor
How to use the IBM Cognos TM1 XMI Extractor tool to extract metadata information from TM1 in the XML Metadata Interchange (XMI) format for consumption by IBM InfoSphere Information Server.
Articles 20 Jun 2014
Integrate DB2 for z/OS with InfoSphere BigInsights, Part 1: Set up the InfoSphere BigInsights connector for DB2 for z/OS
Learn how to set up integration between IBM DB2 11 for z/OS and IBM InfoSphere BigInsights. Enable access to structured and non-structured data that is stored in the Hadoop Distributed File System and send the results back to DB2, where the data can be integrated with online transactional data. Using a scenario that is common to all DB2 for z/OS users, learn to create a big data solution that uses the user-defined functions JAQL_SUBMIT and HDFS_READ to run jobs on InfoSphere BigInsights and retrieve the results with SQL.
Articles 17 Jun 2014
Chain and link predefined sequence applications using InfoSphere BigInsights
By chaining and linking sequences of code, software developers can now create custom applications using InfoSphere BigInsights, organize data sources using BigSheets, enhance Apache Hadoop indexing with BigIndex, and even schedule automated MapReduce jobs using the InfoSphere BigInsights scheduler. Discover how your organization can gain value-added productivity without having to purchase additional software.
Articles 17 Jun 2014
Integrate DB2 for z/OS with InfoSphere BigInsights, Part 2: Use the InfoSphere BigInsights connector to perform analysis using Jaql and SQL
Learn to set up integration between IBM DB2 11 for z/OS and IBM InfoSphere BigInsights. Enable access to structured and non-structured data that is stored in the Hadoop Distributed File System and send the results back to DB2, where the data can be integrated with online transactional data. Using a scenario that is common to all DB2 for z/OS users, create a big data solution that uses the user-defined functions JAQL_SUBMIT and HDFS_READ to run jobs on InfoSphere BigInsights and retrieve the results using SQL.
Articles 17 Jun 2014
IBM Business Analytics Proven Practices: Entity Analytics Performance Guide for DB2
DB2 tuning guidance around SPSS Modeler Premium Entity Analytics.
Articles 11 Jun 2014
Data warehouse augmentation, Part 2: Use big data technologies as a landing zone for source data
Use a Hadoop environment as the landing zone to pull in data from various sources, process it, and transfer the processed data to the existing data warehouse or other repositories. Explore scenarios of different ways to implement a landing zone. Learn about the architecture of the zone and the tools and techniques for integrating it with various environments.
Articles 10 Jun 2014
IBM Business Analytics Proven Practices: Configure Cube Designer for accessing an SSL enabled BI Gateway
An explanation of the steps required to configure IBM Cognos BI Cube Designer for accessing a Secure Sockets Layer (SSL) enabled Cognos BI Gateway.
Articles 05 Jun 2014
Implementing security within PureData System for Hadoop
Learn about the types of security features integrated with the IBM PureData for Hadoop appliance. Configure and use different authentication methods for users and groups, the credentials store, and session tokens. Also learn to implement reverse proxy and Big SQL security.
Articles 04 Jun 2014
IBM Business Analytics Proven Practices: Design Measures of Distribution Skewness and Kurtosis in IBM Cognos Report Studio
This document will have all the steps to dynamically calculate kurtosis and skewness of a distribution (or data set) that report authors can use in Report Studio along with charts as part of descriptive statistics.
Articles 04 Jun 2014
Survey text mining with IBM SPSS Text Analytics for Surveys, Part 1: Exploring sample survey data
This two-part series of articles steps through the process of text mining by using IBM SPSS Text Analytics for Surveys, version 4.0.1. Part 1 describes the objectives of survey text mining and presents sample data of a survey for analysis. In a tour of survey analytics, explore the capabilities of SPSS Text Analytics for Surveys in a step-by-step manner. Every step shows you a bit of information about your sample data. Learn how to use SPSS Text Analytics for Surveys to completely decipher survey data.
Articles 03 Jun 2014
IBM Business Analytics Proven Practices: Time Dimension in IBM Cognos TM1 Performance Modeler and IBM Cognos Insight
The article will explain how time dimensions work in IBM Cognos Insight and IBM Cognos TM1 Performance Modeler and describe how a date time dimension can be created from scratch as well as imported from an existing data source. It will also demonstrate how the time roll-up feature can be used to create simple analyses.
Articles 29 May 2014
Data warehouse augmentation, Part 1: Big data and data warehouse augmentation
Current data warehouse tools and technologies cannot handle the load that new data sources and analytic workloads bring to an enterprise data warehouse. To augment existing data warehouse solutions, organizations must implement big data technology within the context of the traditional data warehouse. This series, intended for data warehouse architects and information architects who work with traditional data warehouses, describes how to combine traditional and big data technologies to maximize and augment the effectiveness of existing data warehouses.
Also available in: Spanish  
Articles 27 May 2014
Pig versus Hive: Benchmarking high level query languages
This article presents benchmarking results of two benchmarking sets applied to Hive and Pig, running on Hadoop 0.14.1. In the first benchmarking study, the Apache Pig benchmark (Apache Foundation, 11/07/07) was replicated. In the second study, results were obtained by applying TPC-H benchmarks. (TPC-H is a decision support benchmark published by the Transaction Processing Performance Council, an organization founded to define global database benchmarks). The two studies showed conflicting results.
Articles 27 May 2014
IBM Business Analytics Proven Practices: IBM Cognos TM1 - Multilingual Cubes Using Cube Views
This document will demonstrate how to utilize aliases, subsets, and TM1 Cube Views to display TM1 cubes in a different language.
Articles 26 May 2014
IBM Business Analytics Proven Practices: IBM Cognos BI Report Studio - Measure Based Value Prompt
Create a value prompt on a measure data item in an IBM Cognos BI Report Studio report using a relational package and prevent the aggregation of those values in the prompt selection, using the steps described in this article.
Articles 15 May 2014
Real-time data analytics using IBM Predictive Maintenance and Quality
For capital-intensive assets-based industries such as oil and gas exploration and production, you need access to real-time production figures and accurate predictions of future production. Learn how to use IBM Predictive Maintenance and Quality to load production data in real time, aggregate data, predict production, and populate the data store to refresh dashboards.
Also available in: Spanish  
Articles 13 May 2014
IBM Business Analytics Proven Practices: Steps to Design a Histogram in IBM Cognos Report Studio
A description of the design and development of a histogram chart, which is a statistical process control chart. Report authors can use the steps in this article as a template for designing their customized histogram.
Articles 13 May 2014
Use SPSS Statistics direct marketing analysis to gain insight
Learn how to use the RFM analysis process of the Direct Marketing module of IBM SPSS Statistics. Using this process, nontechnical users can analyze their customer data.
Also available in: Chinese   Spanish  
Articles 12 May 2014
Improve performance of Big SQL in InfoSphere BigInsights with memory-related parameters
Learn how to configure memory-related parameters for Big SQL to improve the performance of the Big SQL server. Take advantage of automatic configuration for certain parameters.
Articles 06 May 2014
IBM Business Analytics Proven Practices: Configuring Integrated Security for Cognos TM1 Web 10.2
How to set up integrated Windows Authentication for TM1 Web which now is a Java application in Cognos TM1 10.2 release. This is a supplement to the currently incomplete documentation.
Articles 05 May 2014
IBM Business Analytics Proven Practices: Hide and Show Fields without SQL Projection within IBM Cognos 10 Report Studio
A technique which hides columns based on prompt values. Using this approach, the hidden columns are not projected in the underlying database query.
Articles 02 May 2014
Predict user requests for web content using R and InfoSphere Streams
Learn how to analyze web server logs to model how users navigate a website and predict what content will be requested next. This article describes using an extensible Markov model to cluster web pages on a website and predict where the user will navigate next. The solution uses InfoSphere Streams and R to continuously issue predictions based on the model.
Articles 29 Apr 2014
Monitor and adjust resource allocation in a PureData for Analytics system using IBM Netezza Performance Portal 2.1
This article explains how new features of the IBM Netezza Performance Portal 2.1 and PureData for Analytics 7.1 make it possible to monitor and adjust resource utilization of the data warehouse appliance. Learn how to use the new view in Netezza Performance Portal for managing scheduler rules to exert more direct control over the scheduling and execution of queries.
Articles 29 Apr 2014
Recognize physical activity on mobile phones with IBM Worklight and IBM SPSS Modeler
Recognize mobile activity with a service developed with IBM Worklight and IBM SPSS Modeler in this high-level overview. See how to detect and track the physical activity of mobile phone users. The authors share techniques to clean training data, select features, choose the best classification algorithm, and validate the model.
Articles 29 Apr 2014
Use InfoSphere Streams as a sensory interface to Watson
Watson is a powerful technology for solutions involving natural language. However, some data is not in the form of text. This article describes how to use InfoSphere Streams to enable Watson to use sensor data.
Also available in: Chinese  
Articles 22 Apr 2014
Leverage Python, SciKit, and text classification for behavioral profiling
Learn how to build a behavioral profile model for customers based on text attributes of previously purchased product descriptions. With SciKit, a powerful Python-based machine learning package for model construction and evaluation, learn how to build and apply a model to simulated customer product purchase histories. In a sample scenario, construct a model that assigns music-listener profiles to individual customers, based on the specific products each customer purchases and the corresponding textual product descriptions.
Also available in: Japanese  
Articles 17 Apr 2014
IBM Business Analytics Proven Practices: Introduction to Python Scripting in IBM SPSS Modeler
This document provides an introduction to Python scripting in IBM SPSS Modeler.
Articles 16 Apr 2014
Harvest machine data using Hadoop and Hive
Machine data can come in many different formats and quantities. Weather sensors, fitness trackers, and even air-conditioning units produce massive amounts of data, which begs for a big data solution. But how do you decide what data is important, and how do you determine what proportion of that information is valid, worth including in reports, or valuable in detecting alert situations? This article covers some of the challenges and solutions for supporting the consumption of massive machine data sets that use big data technology and Hadoop.
Also available in: Chinese   Japanese  
Articles 08 Apr 2014
IBM Business Analytics Proven Practices: Bulk Loading Via External Loader From IBM SPSS Modeler: Configuration Best Practices and Troubleshooting
Best practice advice for system and database administrators when configuring the bulk loading via external loader functionality of IBM SPSS Modeler.
Articles 27 Mar 2014
Use change data capture technology in InfoSphere Data Replication with InfoSphere BigInsights
Learn how to capture the changes made on source transactional databases such as IBM DB2 and Oracle, and replicate them to the Apache Hadoop Distributed File System in IBM InfoSphere BigInsights. Use change data capture replication technology in InfoSphere Data Replication 10.2 for InfoSphere DataStage with InfoSphere BigInsights support.
Articles 25 Mar 2014
IBM Business Analytics Proven Practices: IBM Cognos TM1 Top
IBM Cognos TM1 Top is a command window based application that runs on a Microsoft Windows platform. It will dynamically display various pieces of information regarding operations that TM1 Server is performing.
Articles 21 Mar 2014
IBM Business Analytics Proven Practices: IBM Cognos TM1 Audit Log Helper
The IBM Cognos TM1 Audit Log Helper is designed to get information out of the IBM Cognos TM1 audit log.performance test or to view and analyze existing TM1Top log files.
Articles 21 Mar 2014
IBM Business Analytics Proven Practices: IBM Cognos TM1 Server Monitor Plug-in for Apache JMeter
The IBM Cognos TM1 Server Monitor Plug-in for Apache JMeter is a plugin for the Apache JMeter performance testing tool. It allows its user to monitor TM1 server activity in real-time while running an Apache JMeter performance test or to view and analyze existing TM1Top log files.
Articles 21 Mar 2014
IBM Business Analytics Proven Practices: IBM Cognos Cube Designer - Model Aggregate Cubes Workshop
How to prepare and model aggregate tables in IBM Cognos Cube Designer as well as show step-by step instructions on the technique using the samples shipped with the product.
Articles 20 Mar 2014
Mine spatial data with space-time-boxes in IBM SPSS Modeler and visualize the data with R
Combine traditional data, unstructured data, and spatial data from many different types of data sources and use space-time-boxes to mine the data for insight. Add R visualization to make it easier to build accurate, predictive models quickly and intuitively, without programming.
Also available in: Russian  
Articles 18 Mar 2014
Data visualization with R: How to get and show meaningful metrics for a scrum team
Data visualizations are universally understood and are an ideal way to communicate operational metrics for an agile team. Chief among those metrics are performance indicators of quality such as total defects. It's critical for team members and stakeholders to understand the nuances and context of these metrics. A popular way to both analyze and visualize nuances in data is to use the R language. This article demonstrates how to use R to ingest and parse quality metrics. Learn to craft meaningful depictions of how metrics fluctuate over time and how they can reveal issues that affect the customer experience. An example shows how R can help you create data visualizations that share insights about your metrics.
Also available in: Russian  
Articles 18 Mar 2014
IBM Business Analytics Proven Practices: Auto Cascading Multi and Single Value Prompts without Page Refresh in IBM Cognos 10 Report Studio
This document provides a technique to auto-cascade single or multi select value prompts without refreshing the page, or re-running the prompt queries.
Articles 17 Mar 2014
Run DNS forensics with QRadar's big data security extension
With the new big data extension in QRadar, you can process a large volume of unstructured data as illustrated in this demo. The author performs a version of DNS forensics he takes a list of all the domains visited by all employees. He then correlates it with the IBM Security X-Force IP Reputation Intelligence Feed and registrar information for each of those domains from whoisxmlapi.com. From this analysis, he produces three reference sets that are fed into QRadar for creating or modifying existing rules.
Articles 11 Mar 2014
Visualize in-browser performance data with R and JavaScript using the W3C performance object
When looking at web performance metrics, the ideal numbers to focus on are real user metrics harvested from your own users. The most popular method is to consume your machine data with a tool such as Splunk, which enables you to analyze and visualize your access and error logs. With these tools you can glean some aspects of performance data, such as file I/O times for reading assets and access times of API requests. However, you are still left to extrapolate client-side performance data, put beacon calls at certain high-level checkpoints, or just run synthetic testing with tools like WebPagetest. Now, the W3C has standardized an API that makes it possible to capture and report out in-browser performance data by using the Performance object, an object native to the Windows object in all modern browsers.
Articles 11 Mar 2014
Set up mixed-workload data analytics
Running analytics jobs on mixed workloads across systems using integrated workflow management can be a challenge. New functions in InfoSphere Information Server DataStage 9.1 allow you to use the power of the Hadoop Oozie workflow scheduler. In this article, learn about setting up mixed-workflow data analytics using the InfoSphere Information Server DataStage 9.1 job sequencer and an Oozie workflow stage. Follow this step-by-step guide to setting up and using the Oozie Workflow Activity stage.
Articles 11 Mar 2014
Practical application of the Oozie workflow management engine for Hadoop
Apache Oozie, one of the pivotal components of the Apache Hadoop ecosystem, enables developers to schedule recurring jobs for email notification or recurring jobs written in various programming languages such as Java, UNIX Shell, Apache Hive, Apache Pig, and Apache Sqoop. The article describes some of the practical applications of the framework that address certain business scenarios. This article introduces the topic to solution architects, technical architects, consultants, data scientists, technical leads, and developers who are working on or who are interested in big data technology.
Also available in: Russian   Japanese  
Articles 11 Mar 2014
IBM Business Analytics Proven Practices: Portrait Aware Mobile Reports Using IBM Cognos Active Report
You can optimize your reports to run in either landscape or portrait orientation on a supported mobile device. Use these tips to ensure that your reports appear as intended.
Also available in: English   Russian  
Articles 05 Mar 2014
IBM Business Analytics Proven Practices: Reportes móviles con orientación vertical usando IBM Cognos Active Report
Usted puede optimizar sus reportes para que puedan ejecutarse ya sea en orientación horizontal o vertical en un dispositivo móvil soportado. Use estos consejos para asegurarse que su reporte aparezca como lo desea.
Articles 05 Mar 2014
Integrate InfoSphere Streams with InfoSphere Data Explorer
Learn how to integrate IBM InfoSphere Streams with InfoSphere Data Explorer to enable Streams operators to connect to Data Explorer to insert and update records. The article focuses on InfoSphere Streams 3.0 or higher and InfoSphere Data Explorer 8.2.2 or 8.2.3.
Articles 04 Mar 2014
Explore the advanced analytics platform, Part 4: Analyze location data to determine movement patterns using a mobility profile pattern
You can create several analytics patterns by using the Advance Analytics Platform. This article describes how to create the mobility profile pattern by analyzing location data, which is captured across time and space for an entity, to determine movement patterns. Such information can be valuable for various actions such as sending timely marketing campaigns based on locally appropriate offers or predicting future flow of traffic. A use case that involves location data from mobile devices illustrates the concepts. Also, learn about the underlying tools that are required to create the patterns.
Articles 04 Mar 2014
IBM Business Analytics Proven Practices: Using OpenStreetMap In IBM Cognos BI Reports
Using OpenStreetMap in IBM Cognos BI reports as an alternative to built-in mapping, Google Maps or Bing Maps.
Also available in: Russian  
Articles 25 Feb 2014
Improve your agile development lifecycle with SPSS
Learn how to build a lean analytics strategy by using IBM SPSS. Your project managers can optimize the development lifecycle, focusing attention where it needs to be. Doing so gives product teams the opportunity to make real-time decisions about feature implementation, and most importantly, management can make quick decisions on resource allocation.
Also available in: Russian  
Articles 18 Feb 2014
Using IBM Big SQL over HBase, Part 2: Query handling and business intelligence reporting
With IBM's Big SQL technology, you can use InfoSphere BigInsights to query HBase using industry-standard SQL. This two-part series focuses on creating tables, data-loading methods, and query handling. In Part 1, you explored Big SQL technology for Hadoop over HBase by creating tables and examining ways to load data. In this article, learn about query handling and how to connect to Big SQL via JDBC to run business intelligence and reporting tools such as BIRT or Cognos.
Also available in: Russian  
Articles 18 Feb 2014
Using IBM Big SQL over HBase, Part 1: Creating tables and loading data
With IBM's Big SQL technology, you can use InfoSphere BigInsights to query HBase using industry-standard SQL. This two-part series focuses on creating tables, data-loading methods, and query handling. Here in Part 1, learn fundamental usage of IBM's Big SQL technology for Hadoop over HBase by creating tables and examining ways to load data. Follow a basic storyline of migrating a relational table to HBase using Big SQL. Part 2 explores query handling, and how to connect to Big SQL via JDBC to run business intelligence and reporting tools, such as BIRT and Cognos.
Also available in: Russian  
Articles 18 Feb 2014
IBM Business Analytics Proven Practices: Configuring a SSAS HTTP XMLA Data Source Connection for use with IBM Cognos 10 BI
An outline of the steps required to setup a SQL Server Analysis Services (SSAS) Extensible Markup Language for Analysis data source connection for use with the IBM Cognos Dynamic Query Mode.
Also available in: Russian  
Articles 13 Feb 2014
Process small, compressed files in Hadoop using CombineFileInputFormat
This article provides detailed examples that show you how to extend and implement CombineFileInputFormat to read the content of gzip (default codec) files at runtime. Learn how to use CombineFileInputFormat within the MapReduce framework to decouple the amount of data a Mapper consumes from the block size of the files in HDFS.
Also available in: Russian   Japanese  
Articles 11 Feb 2014
Using R with databases
R is not just the 18th letter of the English language alphabet, it is a very powerful open source programming language that excels at data analysis and graphics. This article explains how to use the power of R with data that's housed in relational database servers. Learn how to use R to access data stored in DB2 with BLU Acceleration and IBM BLU Acceleration for Cloud environments. Detailed examples show how R can help you explore data and perform data analysis tasks.
Also available in: Russian  
Articles 06 Feb 2014
IBM Business Analytics Proven Practices: IBM Cognos BI Dispatcher Routing Explained
A short document to explain the main concepts of IBM Cognos Dispatchers when routing requests.
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Articles 31 Jan 2014
IBM Business Analytics Proven Practices: Images in IBM Cognos BI Reports and Analyses
This document replaces the outdated "Resolution of Images" by providing updated information, additional detail and troubleshooting techniques for issues regarding images not showing up in supported report output formats.
Also available in: Russian  
Articles 31 Jan 2014
IBM Cognos Express
Download Cognos Express, the first integrated business intelligence (BI) and planning solution built to meet the needs of workgroups and midsize organizations. It delivers the reporting, analysis, dashboard, scorecard, planning, budgeting and forecasting capabilities that organizations require at a price they can afford. As part of the Cognos family of products, Cognos Express enables businesses to start small and expand their BI solution over time as their needs grow.
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Trial Downloads 28 Jan 2014
IBM Business Analytics Proven Practices: IBM SPSS Modeler - ODBC Configuration Best Practices and Troubleshooting
An overview of Open Database Connectivity (ODBC) configuration, best practices when performing these tasks, and troubleshooting techniques to assist in the resolution of common problems in this area.
Articles 28 Jan 2014
Process complex text for information mining
Text -- an everyday component of nearly all social interaction, social networks, and social sites -- is difficult to process. Even the basic task of picking out specific words, phrases, or ideas is challenging. String searches and regex tools don't suffice. But the Annotation Query Language (AQL) within IBM InfoSphere BigInsights enables you to make very simple and straightforward declarative statements about text and convert that into more easily manageable data chunks. Learn how AQL and InfoSphere BigInsights can process text into meaningful data and find out how to convert that information into something usable within the BigSheets environment to get statistical and visualized data from the raw material.
Also available in: Russian  
Articles 28 Jan 2014
IBM Business Analytics Proven Practices: Revival Procedure for Predictive Maintenance and Quality Solution
A description of the steps to revive the IBM Predictive Maintenance and Quality Solution environment after an outage.
Also available in: Russian  
Articles 28 Jan 2014
Hive as a tool for ETL or ELT
Hadoop seems to be the answer to any big data question. But for big data analytics, traditional SQL and MapReduce technologies fall short. Standard extract, load, and transform tools don't efficiently handle big data. Consider Apache Hive, which translates into MapReduce. With Hive you can build a database, a data warehouse loosely based on star schema, or a complicated and complex extract, transform, and load system -- even if you're not a programmer.
Also available in: Russian  
Articles 28 Jan 2014
Practical data mining of vague and uncertain data
With larger and larger amounts of data being generated both privately in business and publicly over the web, data mining is becoming increasingly more interesting and useful. However, traditional data mining is not suited to handle some forms of uncertainty and vagueness. This is where fuzzy set theory can help.
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Articles 28 Jan 2014
IBM Business Analytics Proven Practices: Connecting Dynamic Query Mode to an OAS enabled Oracle
This document describes how to configure IBM Cognos BI's Dynamic Query Mode to successfully connect to an Oracle database secured by Oracle Advanced Security (OAS) features to require JDBC type 4 connections to use the Secure Socket Layer (SSL) protocol.
Also available in: Russian  
Articles 24 Jan 2014
Extract meaningful statistical measures from data in JSON using R
This article explains how to integrate JavaScript Object Notation (JSON) data, such as the data IBM InfoSphere BigInsights produces, with R, a language for statistical computing. It also explains basic R data types, commands, and its graphical display.
Also available in: Russian  
Articles 21 Jan 2014
Predict prospect-to-customer conversion with analysis of surveys and SPSS Statistics
Surveys of customers and prospects are becoming more common as web-based tools allow for quick deployment. As this information floods into the enterprise, it is often not organized or merged with other survey efforts. Most marketing and sales departments glance at the results, cherry-pick those customers who bother to write comments, and then ignore the rest. IBM SPSS Statistics comes from a background of survey analysis, but most business managers and analysts do not have that background. Those people can use the Direct Marketing menu of SPSS Statistics to develop a predictive model for prospects who are more likely to purchase products. In this article, explore the best practices to create a statistically valid sample, how the predictive algorithm in SPSS Statistics works, and how to apply the predictive model to ongoing surveys.
Also available in: Russian  
Articles 20 Jan 2014
IBM Entrepreneur Week
IBM Entrepreneur Week is a one-of-a-kind opportunity for you to meet, interact, and connect with entrepreneurs, venture capitalists, industry leaders, and academics from around the world. If you're a startup or entrepreneur, join us onlne for our inaugural IBM Entrepreneur Week, 3-7 Feb 2014. There will be events taking place online and in locations worldwide, including face-to-face and virtual mentoring sessions, a women entrepreneur-focused event, and a LiveStream broadcast of the SmartCamp Global Finals in San Francisco.
Articles 15 Jan 2014
IBM Entrepreneur Week
IBM Entrepreneur Week is a one-of-a-kind opportunity for you to meet, interact, and connect with entrepreneurs, venture capitalists, industry leaders, and academics from around the world. If you're a startup or entrepreneur, join us online for our inaugural IBM Entrepreneur Week, 3-7 Feb 2014. There will be events taking place online and in locations worldwide, including face-to-face and virtual mentoring sessions, a women entrepreneur-focused event, and a LiveStream broadcast of the SmartCamp Global Finals in San Francisco.
Articles 15 Jan 2014
Machine data analytics
The effort to improve cyber-physical security and increase safety systems has spawned a growing industry, focused on surmounting the challenge. The use of closed-circuit TV analog cameras is rapidly being replaced by higher-definition, feature-rich digital cameras for image-based security and safety systems. In comparison, digital cameras are more flexible, smarter, and more integrated with cloud services and data analytics. This article describes drop-in-place safety and security monitors, combined with cloud-based data analytics, which make it possible to quickly deploy monitoring in areas without power or networking infrastructure.
Also available in: Russian   Japanese  
Articles 14 Jan 2014
IBM Business Analytics Proven Practices: IBM Cognos Insight - Import and Join Multiple Excel Worksheets Together
In this document, you will learn how to import multiple data sets from a Microsoft Excel file into IBM Cognos Insight through an ODBC connection, edit the structure of the data, and then view your results in an IBM Cognos Insight workspace.
Also available in: Russian  
Articles 09 Jan 2014
IBM Business Analytics Proven Practices: IBM Cognos BI - Framework Manager Troubleshooting Use Case
This document will illustrate, step-by step, how to troubleshoot a Framework Manager model starting in Report Studio and working your way back through the layers of the metadata model.
Also available in: Russian  
Articles 08 Jan 2014
Create MapReduce queries to process particular types of data
MapReduce processing has created an entire set of new paradigms and structures for processing and building different types of queries. Getting the best out of Hadoop, however, means writing the appropriate MapReduce query to process the information. This article looks at a variety of different scenarios with cookbook-style examples of how to develop different types of queries.
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Articles 07 Jan 2014
Hadoop data security and Sentry
Given the insights possible with big data, privacy fears have been the primary focus of its detractors. What has been missing from this discussion is protection of data with Apache Hadoop. Sentry is one solution aimed at protecting data within Hadoop by using a fine-grained authorization framework. This article explores Sentry and shows how it can be used to provide controls for big data applications in regulated industries.
Also available in: Russian   Japanese  
Articles 07 Jan 2014
IBM Business Analytics Proven Practices: IBM Business Intelligence Pattern with BLU Acceleration Red Guide
An overview of the IBM Business Intelligence Pattern with BLU Acceleration and its moving parts.
Articles 06 Jan 2014
IBM Business Analytics Proven Practices: IBM Business Intelligence Pattern with DB2 BLU Acceleration Performance Considerations
This document summarizes critical performance aspects that can be used to configure the IBM Business Intelligence Pattern with BLU Acceleration solution for optimal performance.
Also available in: Russian  
Articles 06 Jan 2014
Apply SPSS analytics technology to big data
Learn about the new capabilities in SPSS for working with big data. SPSS analytic assets can now be easily modified to connect to different big data sources and can run in different deployment modes (batch or real time). Components of the SPSS platform now work with IBM Netezza, InfoSphere BigInsights, and InfoSphere Streams to enable analysts to use powerful analytics tools with big data.
Also available in: Chinese   Portuguese   Spanish  
Articles 24 Dec 2013

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